A comparison of penalised regression methods for informing the selection of predictive markers
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DOI: 10.1371/journal.pone.0242730
Abstract: Background Penalised regression methods are a useful atheoretical approach for both developing predictive models and selecting key indicators within an often substantially larger pool of available indicators. In comparison to traditional methods, penalised regression models… read more here.
Keywords: logistic regression; penalised logistic; regression; selection ... See more keywords